{"id":"W4319334392","doi":"10.1001/jama.2022.23968","title":"Association Between Drug Characteristics and Manufacturer Spending on Direct-to-Consumer Advertising","year":2023,"lang":"en","type":"article","venue":"JAMA","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Direct-to-consumer advertising; Medicine; Beneficiary; Prescription drug; Food and drug administration; Medical prescription; Advertising; Drug; Marketing; Family medicine; Environmental health; Business; Finance; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001243885,0.0002079598,0.000302404,0.0001725665,0.0003549889,0.00006590589,0.000147106,0.0005580952,0.0007150783],"category_scores_gemma":[0.0005296777,0.0002061358,0.00005292825,0.0003022663,0.00004036225,0.0001346541,0.0001093543,0.001632733,0.001589142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087079,"about_ca_system_score_gemma":0.00002511031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001692673,"about_ca_topic_score_gemma":0.000005876671,"domain_scores_codex":[0.9980292,0.0004245342,0.0003239492,0.0003586008,0.0002195266,0.0006441548],"domain_scores_gemma":[0.9978251,0.001348587,0.0001241118,0.000112062,0.00005016408,0.000539991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002244733,0.00005707391,0.7516666,0.0001079082,0.0002736956,0.00008148784,0.001340418,0.0000255998,0.003250932,0.0002142443,0.07277074,0.1699868],"study_design_scores_gemma":[0.0007351727,0.00003389822,0.5441141,0.00004645352,0.0001299334,0.000002009087,0.00006203309,0.0002544193,0.01847022,0.0001604754,0.4357747,0.0002166954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974949,0.00005867535,0.000003685516,0.01718342,0.00100478,0.0003319194,0.0002963444,0.0002393666,0.005932828],"genre_scores_gemma":[0.9847223,0.0002284605,0.0000209412,0.006863476,0.001128438,0.00002392222,0.00008134318,0.00002823697,0.006902891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3630039,"threshold_uncertainty_score":0.9991882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2413928189857826,"score_gpt":0.4971189649780765,"score_spread":0.2557261459922939,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}